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Older adults’ experiences of intergenerational programmes: a scoping review of qualitative research methodologies

2025· review· en· W4410255481 on OpenAlexaff
Maxwell Hartt

Bibliographic record

VenueJournal of global ageing. · 2025
Typereview
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsQualitative researchSociologyPsychologySocial science

Abstract

fetched live from OpenAlex

Social isolation and loneliness among older adults are global health issues. Intergenerational programmes with children have emerged as a highly touted countermeasure. This study explores what qualitative research methods researchers have adopted to capture the experiences of community-dwelling older adults participating in intergenerational (IG) programmes that promote positive social interactions with non-familial children under 13 years. Following PRISMA guidelines, Medline, CINAHL, APA PsychInfo and Scopus databases were searched from inception to the end of the 2022 calendar year. Nine articles were included in the review. An evaluation approach dominated. Research methodologies in the articles included ethnography, case study and community-based participatory action. The importance placed on observation as a data collection method calls for further study of observation protocols with older adults. The review highlights the potential for future research using creative, performative or arts-based design approaches. Caution is needed about potentially insufficient attention being given to dependability in qualitative research about IG programmes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.731
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.466
GPT teacher head0.673
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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